Description: The definitive textbook and professional reference on Kalman Filtering - fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon their decades of experience to offer an in-depth examination of the subtleties, common pitfalls, and limitations of estimation theory as it applies to real-world situations. They present many illustrative examples including adaptations for nonlinear filtering, global navigation satellite systems, the error modeling of gyros and accelerometers, inertial navigation systems, and freeway traffic control. Kalman Filtering: Theory and Practice Using MATLAB, Fourth Edition is an ideal textbook in advanced undergraduate and beginning graduate courses in stochastic processes and Kalman filtering. It is also appropriate for self-instruction or review by practicing engineers and scientists who want to learn more about this important topic.
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money Back
EAN: 9781118851210
UPC: 9781118851210
ISBN: 9781118851210
MPN: N/A
Number of Pages: 640 Pages
Publication Name: Kalman Filtering : Theory and Practice with Matlab
Language: English
Publisher: Wiley & Sons, Incorporated, John
Subject: Probability & Statistics / Stochastic Processes, Mathematical & Statistical Software, Remote Sensing & Geographic Information Systems
Item Height: 1.6 in
Publication Year: 2014
Item Weight: 34.8 Oz
Type: Textbook
Item Length: 9.6 in
Subject Area: Mathematics, Computers, Technology & Engineering
Author: Angus P. Andrews, Mohinder S. Grewal
Series: IEEE Press Ser.
Item Width: 6.4 in
Format: Hardcover